Core AI
68,645 papers (13 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Multimodal Learning (14,926)
Large Language Models (9,515)
Interpretability (8,292)
Foundation Models (5,277)
Agent Systems (4,710)
Causal Inference (3,958)
Multi-Agent Systems (3,842)
AI Safety (3,602)
Planning (3,482)
Reasoning (3,360)
Human-AI Interaction (2,465)
Model Compression (2,258)
Natural Language Processing (2,186)
Responsible AI (2,130)
Computer Vision (1,901)
Game AI (1,846)
Reinforcement Learning (1,698)
Adversarial Learning (1,500)
Autonomous Vehicles (1,488)
Language (1,345)
Fairness (1,279)
Game Theory (1,129)
Robotics (1,087)
Dialogue Systems (1,066)
Efficient Computing (956)
Vision-Language Models (928)
Knowledge Graph (735)
Procedural Generation (709)
Trajectory Prediction (676)
Evaluation (655)
Privacy (617)
Natural Language Generation (573)
Information Retrieval (541)
Memory (526)
Decision Making (480)
Safety (474)
Knowledge Representation (409)
Knowledge (386)
Information Extraction (378)
Speech Processing (310)
Knowledge Graphs (282)
Security (256)
Uncertainty Quantification (246)
Representation Learning (239)
Retrieval-Augmented Generation (225)
Knowledge Editing (200)
Question Answering (199)
Attention (198)
Robustness (186)
Knowledge Distillation (185)
Code Generation (168)
Explainability (142)
Brain-Computer Interface (141)
Neural Networks (136)
Anomaly Detection (132)
Automated Reasoning (84)
Natural Language Understanding (81)
Multi-Lingual Learning (79)
Education (64)
Machine Translation (57)
Learning Paradigms (57)
Speech Recognition (55)
Risk Management (51)
Visual Question Answering (49)
Communication (35)
Motion Analysis (32)
Natural Language Inference (29)
Sentiment Analysis (19)
Representation (17)
Papers per year
1
4
10
1
11
82
89
98
89
99
120
153
269
217
273
416
1,053
1,809
3,137
4,063
4,997
5,940
7,896
12,509
17,181
8,128
2000
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Papers (including subtopics)
A Hierarchical Framework for Relation Extraction with Reinforcement Learning
AAAI 2019
A Hierarchical Multi-Task Approach for Learning Embeddings from Semantic Tasks
AAAI 2019
A Human-Like Semantic Cognition Network for Aspect-Level Sentiment Classification
AAAI 2019
A Hybrid Neural Network Model for Commonsense Reasoning
EMNLP 2019
AiD-EM: Adaptive Decision Support for Electricity Markets Negotiations
IJCAI 2019
AiFu at SemEval-2019 Task 10: A Symbolic and Sub-symbolic Integrated System for SAT Math Question Answering
SemEval 2019
AI in Recruiting. Multi-agent Systems Architecture for Ethical and Legal Auditing
IJCAI 2019
AIRD: Adversarial Learning Framework for Image Repurposing Detection
CVPR 2019
A Just and Comprehensive Strategy for Using NLP to Address Online Abuse
ACL 2019
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations
CVPR 2019
A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis
EMNLP 2019
A Large-Scale Corpus for Conversation Disentanglement
ACL 2019
A Layer-Based Sequential Framework for Scene Generation with GANs
AAAI 2019
A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks
AAAI 2019
A Learnable Safety Measure
CoRL 2019
A Lightweight Recurrent Network for Sequence Modeling
ACL 2019
Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment
ICCV 2019
A Little Is Enough: Circumventing Defenses For Distributed Learning
NeurIPS 2019
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models
EMNLP 2019
All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously
JMLR 2019
Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services
AAAI 2019
Allocating Planning Effort When Actions Expire
AAAI 2019
A logical-based corpus for cross-lingual evaluation
EMNLP 2019
A Logic-Driven Framework for Consistency of Neural Models
EMNLP 2019
Amazon at MRP 2019: Parsing Meaning Representations with Lexical and Phrasal Anchoring
CoNLL 2019